Evidence map›Paper›PMID 29574091›Full record

ArticleGastroenterology2018

Genetic Risk Score Is Associated With Prevalence of Advanced Neoplasms in a Colorectal Cancer Screening Population.

Korbinian Weigl, Hauke Thomsen, Yesilda Balavarca, Jacklyn N Hellwege, Martha J Shrubsole, Hermann Brenner

Open access · bronzeAbstract read
In one paragraph

Article in Gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Pooled it
  4. Polygenic risk scores in cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  5. Impact of High Immunoreactivity on Surgically Treated Serum p53 Antibody-Positive Esophageal Squamous Cell Carcinoma after Neoadjuvant Therapy: A Multi-Institutional Study of 637 Cases.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2026
    Article
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  12. Focusing on colorectal cancer in young adults (Review).Molecular and clinical oncology · 2024
    Review
  13. Article
  14. Review
  15. Evaluating the Potential of Polygenic Risk Score to Improve Colorectal Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  16. Article
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  18. Individuals with common diseases but with a low polygenic risk score could be prioritized for rare variant screening.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Korbinian WeiglDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, University of Heidelberg, Heidelberg, Germany.
Hauke ThomsenDivision of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Yesilda BalavarcaDivision of Preventive Oncology, German Cancer Research Center and National Center of Tumor Diseases, Heidelberg, Germany.
Jacklyn N HellwegeDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.
Martha J ShrubsoleDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center and National Center of Tumor Diseases, Heidelberg, Germany. Electronic address: h.brenner@dkfz-heidelberg.de.
German Cancer Research Center · DEVanderbilt University · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Understanding and Controlling p120 Dysfunction in CRCP50CA095103 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2002 to 2017
$33.6M
Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerT32CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Xiao-Ou Shu · 2017 to 2026
$3.8M
Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerR25CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, SHU, XIAO-OU · 2012 to 2016
$2.1M
Colorectal Tumor Risk Prediction in the PLCO TrialU01CA185094 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2014 to 2016
$2.0M
NCI NIH HHS P30 CA068485NCI NIH HHS P50 CA095103NCI NIH HHS R25 CA160056NCI NIH HHS T32 CA160056NCI NIH HHS U01 CA185094NIDDK NIH HHS P30 DK058404
6 · The paper itself

Abstract

BACKGROUND &

aimsThe presence of specific single nucleotide polymorphisms (SNPs) can be used to calculate an individual's risk for colorectal cancer (CRC), called a genetic risk score (GRS). We investigated whether GRS can identify individuals with clinically relevant neoplasms in a screening colonoscopy population.

methodsWe derived a GRS based on 48 SNPs associated with CRC, identified in a comprehensive literature search. We obtained genetic data from 1043 participants (50-79 years old) in a screening colonoscopy study in Germany, recruited from 2005 through 2013 (294 with advanced neoplasms, 249 with non-advanced adenoma (NAAs), and 500 without neoplasms). Each participant was assigned a GRS by aggregating their risk alleles (0, 1, or 2). Risk of advanced neoplasms and NAA according to GRS was calculated by multiple logistic regression. Risk advancement periods were calculated. We replicated our findings using data from a subset of the Tennessee Colorectal Polyp Study.

resultsAn increased GRS was associated with higher prevalence of advanced neoplasms, but not NAAs. Participants in the middle and upper tertiles of GRS had a 2.2-fold and 2.7-fold increase in risk, respectively, of advanced neoplasms compared to those in the lower tertile. Adjusted odds ratios (ORs) were 1.09 (95% confidence interval [CI], 0.76-1.57) for NAA in the middle tertile and 1.05 (95% CI, 0.70-1.55) for NAA in the upper tertile. The ORs were largest for proximal advanced neoplasms for participants in the middle tertile (OR, 3.55; 95% CI 1.85-6.82) and the upper tertile (OR, 3.61; 95% CI 1.84-7.10). The risk advancement period for medium vs low GRS was 13.4 years (95% CI 4.8-22.0) and for high vs low GRS was 17.5 years (95% CI, 7.8-27.3).

conclusionsIn a genetic analysis of participants in a CRC screening study in Germany, an increased GRS (based on CRC-associated SNPs) was associated with increased prevalence of advanced neoplasms. These findings might be used in defining risk-adapted screening ages.

Indexed as

Genetic Predisposition to DiseaseAdenomaAgedCarcinomaColonoscopyColorectal NeoplasmsEarly Detection of CancerFemaleGermanyHumansLogistic ModelsMaleMiddle AgedNeoplasm StagingOdds RatioPolymorphism, Single NucleotideCohortColon CancerPredispositionVariant

Identifiers

PMID29574091
PMCPMC6035076
OpenAlexW2790772194

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.